Paper2Agent converts research papers into interactive AI agents, enabling complex scientific queries and collaboration with over 80% accuracy in reproducing original results.
- Open access
- 3 cites
Biomedical Text Mining and Ontologies
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Biomni, a versatile AI agent, autonomously performs diverse biomedical research tasks with high accuracy across 25 domains, accelerating discovery processes.
- 16 cites
Latest in Biomedical Text Mining and Ontologies
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Engineering translation control enables predictable gene expression by tuning initiation, elongation, and termination processes in biological systems.
Protein interaction networks in a mouse tauopathy model undergo significant, phosphorylation-dependent remodeling, with over 20 key complexes showing dynamic changes during disease progression.
- Open access
Embeddings from genome and protein language models enable high-resolution, alignment-free insights into genomics and proteomics, surpassing traditional methods.
Genolator, a multimodal large language model, achieves over 365,000 question-answer pairs to accurately interpret protein functions from genomic and structural data.
- Open access
Paper2Agent converts research papers into interactive AI agents, enabling complex scientific queries and collaboration with over 80% accuracy in reproducing original results.
- Open access
- 3 cites
A structured methodological framework enables early-stage performance assessment of clinical variant classification platforms, demonstrated on 97 cases across three versions.
- Open access
- 1 cites
Gene Ontology priors in biologically-informed neural networks mainly organize activations into meaningful units rather than improving performance, with the most promising approach being soft-link encoders.
- Open access
Large language models accessing the DGIdb API via the MCP server significantly enhance their ability to answer up-to-date biomedical questions about the druggable genome.
- Open access
Novel document-level uncertainty aggregation strategies significantly improve active learning performance in ontology curation, with KPSum showing consistent gains over random sampling.
- Open access
- 1 cites
CIViC-Fact reveals that less than 30% of cancer variant claims can be fully validated from abstracts alone, emphasizing the need for full-text evaluation in biomedical verification.
- Open access
- 2 cites
EcoXAI's multi-agent system identified 79 novel drug candidates for Alzheimer's Disease, surpassing randomized baselines and supporting literature validation.
- Open access
Large language models with trillions of parameters are transforming bioinformatics by enhancing analysis and understanding of complex biological systems.
- Open access
AutoBioKG constructs highly accurate, context-aware biomedical knowledge graphs, outperforming baselines by 3.6-17.8 percentage points in zero-shot F1 across multiple datasets.
- 1 cites
Biomni, a versatile AI agent, autonomously performs diverse biomedical research tasks with high accuracy across 25 domains, accelerating discovery processes.
- 16 cites
PubMind extracts and annotates over 1.3 million genetic variants from biomedical literature with high accuracy, revealing many novel variants beyond existing databases.
- Open access
- 1 cites
Automated pipeline using large language models identified 6,802 gene perturbation signatures from 4,453 GEO experiments, covering 2,907 genes with high accuracy.
- Open access
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